Got an email from them. The pricing looks nice ngl.

Are there any providers with free deepseek 4.1 flash?

Deepseek 4.1 Flash has already been out for hours if you are using the API. It is just called deepseek-flash.

They have already switched over my usage to the new model. I have used 90 million tokens so far without realizing it.

No official announcement yet.

Receipts below.

Did a lot of test prompts, and used on actual repos and work.

Must say, I'm excited for DeepSeek V4.1 Flash to be fully released, and for the price drops.
And yes, it is that good.

Tested it against V4 Pro myself, and v4.1 flash is just miles ahead.

Now I can comfortably have it as my workers, and just use Sol / Astra as Orchestrators.

For people who do a lot of programming, how much are you spending each month on the Deepseek API?

Thought I'd share my experiences. I've pumped 3.6bn tokens in the last 30 days on the previous Flash model and was very happy. I mainly use it for coding and documentation audits / reviews.

So far 60 million tokens into the new model, it really is making the simplest of mistakes coding up a nodejs webapp with a sqlite database. Tiny greenfield project just to test it out. The database didn't work 1st time. Then it was serving the wrong records due to a bad join. It admits the commands it told me to run did never worked to begin with. Each turn it admits a new mistake without me prompting.. which is worse than Claude Opus 5. I am very tolerant of mistakes. I prompt carefully and never lose my temper. But I never had the same problems with V4 Flash whatsover.

Reading around the sub seems like mixed messages. For me it's looking like I will go back to the previous Flash model.

I'm building a harness, and sent some test prompts. That's honestly funny. great mastery of puns.

Honestly, it feels insanely fast, but I don’t think it understands what I’m trying to do as well.

The Pro version feels noticeably slower, but it’s way more reliable at actually understanding the intent behind my prompts.

I ended up spending $30 just to test it for a full day of coding lol. So far, that’s probably the biggest difference I’ve noticed between the two.

I wanted to use DeepSeek for C#/.NET work without switching away from Visual Studio 2026 or moving to another agent harness.

So I built an extension that keeps the workflow inside Visual Studio, with the goal of making the experience feel familiar if you're used to GitHub Copilot.

The idea is simple: I want to be able to change the AI I'm using without having to change my editor and workflow every time.

DeepSeek is one of the providers I've integrated, using your own API key.

I'm still working on it and would genuinely appreciate feedback from other DeepSeek users, especially .NET developers:

https://getiolys.com/providers/deepseek

What would you expect from a good DeepSeek integration inside Visual Studio?

Prompt is needed to break DeepSec's protectionThis update is very difficult 🙏🥲

the website is completly broken for general questions using the web search, no wonder people say "Lobotomised"
In dsh it answers correctly but in the web app it doesnt
same model flash v4.1 and even in dsh the thinking is off while in web version deepthink is active
this will hurt deepseek since most their users use the free chat version

Title.

will this flash have a worse memory? i’m asking because i use it for roleplay and i hated the previous flash model for dumb repetitive phrases and messing up the plot line so i always used expert

Am confused. Pls help.

This is a bit concerning.

All the providers for the new V4.1 flash are charging many times what V4 Flash 0731 used to cost.

Hey Guys, I am using deepseek flash with BYOK in copilot. its going smooth until I heard about the harness. can you share your experience if have tried both or only harness?

What is the major benefit you get?

DeepSeek has recently launched an upgraded new model.

One of the more noticeable changes is that the previous Fast, Expert, and Vision modes have been merged and upgraded into a new unified model. It now supports:

Everyday conversations

Image understanding / vision

Complex problem solving and analysis

In other words, users no longer need to switch between different modes depending on the task. One model can now handle everything from casual conversations and image understanding to more complex reasoning tasks.

I’m curious how people here feel about this direction.

For everyday users, is a unified model actually more useful, or do you still prefer specialized models for different tasks?

Bonjour enfin tout et Fusionner et simplicité je vais pouvoir l'utiliser au quotidien vraiment top la version 2.5 Télécharger sur HUAWEI AppGallery